Oct 24, 2026

AI Writes the Code. So What's Left for Engineers? - Laurie Voss, Arize AI

Laurie Voss, head of developer relations at Arize AI and co-founder of npm, argues that coding agents have made writing code nearly free, so the bottleneck keeps moving first to code review, then to operations and security. What agents can't take over is discovering what people actually need and defining what 'good' means. He introduces the product engineer as the role that remains, examines the collapse in junior engineering hiring, and offers practical advice for engineering leaders.

Oct 14, 2026

Rebuilding CI for AI-Scale Commit Volume — Gautam Korlam, SonarSource

A talk on why coding agents shift the bottleneck from code generation to CI, merge queues, review, and approvals, and how to redesign those systems around speed, automated repair, policy enforcement, and auditable records.

Oct 09, 2026

Generation Is Cheap, Review Is Expensive: How to Stop Shipping AI Slop — Gabriel Martinez, G2i

Gabriel Martinez of G2i argues that slop is not AI-written code but work that looks finished before the thinking behind it is done. He connects it to missing judgment, code as a liability, misaligned incentives that reward merging speed over review, oversized PRs and documents that push understanding onto reviewers, and the case for conventions, diagrams as review surfaces, and small changes. He closes by explaining why G2i built ORC to keep humans in control of agent-generated work.

Oct 09, 2026

AI Writes More PRs. Who Validates Them? — Ali-Reza Adl-Tabatabai, Sonar

Ali-Reza Adl-Tabatabai, co-founder of Gitar (now part of Sonar), explains why AI-driven growth in PR volume and size turns CI and code review into a bottleneck, and presents agentic validation as the way out: automated review, CI failure analysis, autofix, and auto-merge, built up step by step as trust grows, combined with traditional program analysis in SonarQube.

Oct 03, 2026

How VS Code Went from Monthly to Weekly Releases with AI — Harald Kirschner

Harald Kirschner, principal product manager on VS Code at Microsoft, explains how a small team serving more than 50 million users moved from monthly to weekly releases by rebuilding its whole delivery system around AI agents. He covers faster shipping through agent-ready codebases, skills, and a 10x faster TypeScript Go build, quality practices like mandatory AI code review, AI triage, auto-fix PRs and staged rollouts, and faster learning through VSC-Bench evals and daily prototyping.

Oct 02, 2026

Your Coding Agent Is 6 Months Out of Date — Jakub Hojsan, Exa

Jakub Hojsan, a forward deployed engineer at Exa, explains how search built for coding and code-review agents closes the gap left by model knowledge cutoffs. He covers why agents need explicit rules for when to search, how query-dependent highlights cut a 100,000-character page to about 500 characters without added latency, and how Exa compares with native web search on transparency, cost, and model-provider independence, with a preview of Exa Agent.